遇见数据集

Weather Source: OnPoint Risk Analytics - Flooding, Hurricanes, Wildfires and More

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Datarade2024-04-19 收录
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The climate and peril risk modeling at a spatial resolution of 30 square meters is especially important for flood modeling where slight changes in ground elevation can make big differences in flood potential for locations near rivers and coastlines. Each climate and peril risk model will provide relative risk rankings for any requested location(s). The relative risk rankings are provided as a percentage of the sorted distribution of event frequencies from a group of locations, where the group can be defined as the entire globe, a region, or a country. In addition to providing relative risk rankings for many perils, the service will also provide return period event levels for common return period ranges, such as 20, 50, 100, 200, and 500 years (e.g., a 50-year return period for flooding for a location may be 1.5 meters of flood water and what this means is that on average for any 50-year period, the maximum expected flood level would be 1.5 meters).

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Weather Source: OnPoint Risk Analytics - Flooding, Hurricanes, Wildfires and More 数据集图片
背景与挑战
背景概述
该数据集以30平方米的空间分辨率提供气候和灾害风险建模,尤其适用于洪水评估,因地面高程变化对洪水风险影响显著。它输出相对风险排名(表示为全球、区域或国家范围内事件频率分布百分比)以及常见回归期(如20、50、100、200、500年)的灾害事件水位,例如50年一遇的洪水可能达到1.5米。
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